Skip to main content
SpringerLink
Log in
Book cover

Workshop of the European Group for Intelligent Computing in Engineering

EG-ICE 2018: Advanced Computing Strategies for Engineering pp 361–377Cite as

A Semantic Web-Based Approach for Generating Parametric Models Using RDF

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10864))

Abstract

Semantic-rich 3D parametric models, like Building Information Models (BIMs) are becoming the main information source during the entire lifespan of an asset. The use of BIM in existing buildings has been hampered by the challenges surrounding the limitations of existing technologies for developing retrofit models. Some progress has been recently made in generating non-parametric models from the Point Cloud Data (PCD). However, a proper fully developed parametric model is still some way away. In this paper, challenges are addressed by reviewing the state-of-the-art before presenting our approach. The aim of our approach is to apply the Semantic Web Technologies for generating parametric models using PCD as primary data. The Semantic Web as a set of standards and technologies is used for providing an appropriate framework for storing, sharing, and reusing the semantics of information on the web. Building elements are recognized in PCD, and the concept of Resource Description Framework (RDF) as a Semantic Web technology and a standard model for interchanging the data on the web is then used to markup detected elements. The RDF data is then standardized to Industry Foundation Classes (IFC) as an open standard building data model to generate the parametric model of the asset utilizing BIM software that supports IFC. Some parts of this ongoing research are performed manually, and the future work is to implement the process automatically. Primary results are quite promising and should be of interest to the modeling of all kinds of assets, in particular, Historical Building Information Modelling (HBIM).

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Quattrini, R., Malinverni, E., Clini, P., Nespeca, R., Orlietti, E.: From TLS to HBIM. High quality semantically-aware 3D modeling of complex architecture. Int. Arch. Photogramm., Remote Sens. Spat. Inf. Sci. 40(5), 367–374 (2015)

    Article  Google Scholar 

  2. Volk, R., Stengel, J., Schultmann, F.: Building information modeling (BIM) for existing buildings - literature review and future needs. Autom. Constr. 38, 109–127 (2014)

    Article  Google Scholar 

  3. Dore, C., Murphy, M.: Historic building information modelling (HBIM). In: Handbook of Research on Emerging Digital Tools for Architectural Surveying, Modeling, and Representation, vol. 1, pp. 239–280 (2015)

    Google Scholar 

  4. Brumana, R., Oreni, D., Cuca, B., Binda, L., Condoleo, P., Triggiani, M.: Strategy for integrated surveying techniques finalized to interpretive models in a byzantine church, Mesopotam Albania. Int. J. Archit. Herit. 8(6), 886–924 (2014)

    Article  Google Scholar 

  5. Zhang, S., Teizer, J., Lee, J.-K., Eastman, C.M., Venugopal, M.: Building information modeling (BIM) and safety: automatic safety checking of construction models and schedules. Autom. Constr. 29, 183–195 (2013)

    Article  Google Scholar 

  6. Gao, T., Akinci, B., Ergan, S., Garrett, J.: An approach to combine progressively captured point clouds for BIM update. Adv. Eng. Inform. 29(4), 1001–1012 (2015)

    Article  Google Scholar 

  7. Brilakis, I., Lourakis, M., Sacks, R., Savarese, S., Christodoulou, S., Teizer, J., Makhmalbaf, A.: Toward automated generation of parametric BIMs based on hybrid video and laser scanning data. Adv. Eng. Inform. 24(4), 456–465 (2010)

    Article  Google Scholar 

  8. Hayne, G., Kumar, B., Hare, B.: The development of a framework for a design for safety BIM tool. In: Computing in Civil and Building Engineering 2014, Orlando, pp. 49–56 (2014)

    Google Scholar 

  9. Turkan, Y., Bosche, F., Haas, C.T., Haas, R.: Automated progress tracking using 4D schedule and 3D sensing technologies. Autom. Constr. 22, 414–421 (2012)

    Article  Google Scholar 

  10. Tang, P., Huber, D., Akinci, B., Lipman, R., Lytle, A.: Automatic reconstruction of as-built building information models from laser-scanned point clouds: a review of related techniques. Autom. Constr. 19(7), 829–843 (2010)

    Article  Google Scholar 

  11. Gao, T., Ergan, S., Akinci, B., Garrett, J.: Evaluation of different features for matching point clouds to building information models. J. Comput. Civil Eng. 30(1), 1–13 (2014)

    Google Scholar 

  12. Zhang, G., Vela, P.A., Karasev, P., Brilakis, I.: A sparsity-inducing optimization-based algorithm for planar patches extraction from noisy point-cloud data. Comput.-Aided Civil Infrastruct. Eng. 30(2), 85–102 (2015)

    Article  Google Scholar 

  13. Chevrier, C., Charbonneau, N., Grussenmeyer, P., Perrin, J.P.: Parametric documenting of built heritage: 3D virtual reconstruction of architectural details. Int. J. Archit. Comput. 8(2), 135–150 (2010)

    Article  Google Scholar 

  14. Bosche, F., Forster, A., Valero, E.: 3D Surveying Technologies and Applications: Point Clouds and Beyond. Heriot-Watt University, Edinburgh (2015)

    Google Scholar 

  15. Bosche, F.: Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction. Adv. Eng. Inform. 24(1), 107–118 (2010)

    Article  Google Scholar 

  16. Golparvar-Fard, M., Bohn, J., Teizer, J., Savarese, S., Pena-Mora, F.: Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques. Autom. Constr. 20(8), 1143–1155 (2011)

    Article  Google Scholar 

  17. Xiong, X., Adan, A., Akinci, B., Huber, D.: Automatic creation of semantically rich 3D building models from laser scanner data. Autom. Constr. 31, 325–337 (2013)

    Article  Google Scholar 

  18. Son, H., Kim, C.: Automatic segmentation and 3D modeling of pipelines into constituent parts from laser-scan data of the built environment. Autom. Constr. 68, 203–211 (2016)

    Article  Google Scholar 

  19. Huber, D., Akinci, B., Oliver, A.A., Anil, E., Okorn, B.E., Xiong, X.: Methods for automatically modeling and representing as-built building information models. In: Proceedings of the NSF CMMI Research Innovation Conference, Atlanta (2011)

    Google Scholar 

  20. Budroni, A., Bohm, J.: Automated 3D reconstruction of interiors from point clouds. Int. J. Archit. Comput. 8(1), 55–73 (2010a)

    Google Scholar 

  21. Budroni, A., Bohm, J.: Automatic 3D modelling of indoor Manhattan-world scenes from laser data. In: Proceedings of the International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 115–120 (2010b)

    Google Scholar 

  22. Adan, A., Huber, D.: Reconstruction of wall surfaces under occlusion and clutter in 3D indoor environments. Robotics Institute, Carnegie Mellon University, Pittsburgh, PA CMU-RI-TR-10-12 (2010)

    Google Scholar 

  23. Adan, A., Huber, D.: 3D reconstruction of interior wall surfaces under occlusion and clutter. In: 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), pp. 275–281. IEEE (2011)

    Google Scholar 

  24. Okorn, B., Xiong, X., Akinci, B., Huber, D.: Toward automated modeling of floor plans. In: Proceedings of the Symposium on 3D Data Processing, Visualization and Transmission, vol. 2 (2010)

    Google Scholar 

  25. Oreni, D., Brumana, R., Georgopoulos, A., Cuca, B.: HBIM for conservation and management of built heritage: towards a library of vaults and wooden bean floors. ISPRS Ann. Photogramm., Remote Sens. Spat. Inf. Sci. 5, W1 (2013)

    Google Scholar 

  26. Oreni, D., Brumana, R., Della Torre, S., Banfi, F., Previtali, M.: Survey turned into HBIM: the restoration and the work involved concerning the Basilica di Collemaggio after the earthquake (L’Aquila). ISPRS Ann. Photogramm., Remote Sens. Spat. Inf. Sci. 2(5), 267–273 (2014)

    Article  Google Scholar 

  27. Barazzetti, L., Banfi, F., Brumana, R., Previtali, M., Roncoroni, F.: BIM from laser scans… not just for buildings: NURBS-based parametric modeling of a medieval bridge. ISPRS Ann. Photogramm., Remote Sens. Spat. Inf. Sci. 3(5), 51–56 (2016)

    Article  Google Scholar 

  28. Barazzetti, L., Banfi, F., Brumana, R., Gusmeroli, G., Oreni, D., Previtali, M., Roncoroni, F., Schiantarelli, G.: BIM from laser clouds and finite element analysis: combining structural analysis and geometric complexity. Int. Arch. Photogramm., Remote Sens. Spat. Inf. Sci. 40(5), 345–350 (2015)

    Article  Google Scholar 

  29. Murphy, M., McGovern, E., Pavia, S.: Historic building information modelling (HBIM). Struct. Surv. 27(4), 311–327 (2009)

    Article  Google Scholar 

  30. Murphy, M., McGovern, E., Pavia, S.: Historic building information modelling–adding intelligence to laser and image based surveys of European classical architecture. ISPRS J. Photogramm. Remote Sens. 76, 89–102 (2013)

    Article  Google Scholar 

  31. Attar, R., Prabhu, V., Glueck, M., Khan, A.: 210 King Street: a dataset for integrated performance assessment. In: Proceedings of the 2010 Spring Simulation Multiconference, Society for Computer Simulation International, pp. 177–180 (2009)

    Google Scholar 

  32. Chevrier, C., Perrin, J.P.: Generation of architectural parametric components: cultural heritage 3D modelling. In: Joining Languages, Cultures and Visions – CAADFutures 2009, Les Presses de l’Universit de Montral, pp. 105–118 (2009)

    Google Scholar 

  33. Fassi, F., Achille, C., Fregonese, L.: Surveying and modelling the main spire of Milan Cathedral using multiple data sources. Photogramm. Rec. 26(136), 462–487 (2011)

    Article  Google Scholar 

  34. Apollonio, F.I., Gaiani, M., Sun, Z.: BIM-based modeling and data enrichment of classical architectural buildings. SCIRES-IT-Sci. Res. Inf. Technol. 2(2), 41–62 (2012)

    Google Scholar 

  35. Yu, L.: A Developer’s Guide to the Semantic Web. Springer Science & Business Media, Berlin (2011). https://doi.org/10.1007/978-3-662-43796-4

    Book  Google Scholar 

  36. McGibbney, L.J., Kumar, B.: A framework for regulatory ontology construction within AEC domain. In: Ontology in the AEC Industry, pp. 193–215 (2015)

    Google Scholar 

  37. Hernandez, F., Rodrigo, L., Contreras, J., Carbone, F.: Building a cultural heritage ontology for Cantabria. In: Annual Conference of CIDOC, pp. 1–14 (2008)

    Google Scholar 

  38. Hernandez, F., Rodrigo, L., Contreras, J., Carbone, F.: Cantabria cultural heritage semantic portal. In: Proceedings of the 2007 International Conference on Semantic Web Challenge, vol. 259, pp. 9–16 (2007)

    Google Scholar 

  39. Domingue, J., Fensel, D., Hendler, J.A.: Handbook of Semantic Web Technologies. Springer Science & Business Media, Berlin (2011). https://doi.org/10.1007/978-3-540-92913-0

    Book  MATH  Google Scholar 

  40. Powers, S.: Practical RDF: Solving Problems with the Resource Description Framework. O’Reilly Media Inc., Sebastopol (2003)

    Google Scholar 

  41. Cyganiak, R., Wood, D., Lanthaler, M.: W3C recommendation homepage. https://www.w3.org/TR/rdf11-concepts/. Accessed 10 Sept 2017

  42. Klyne, G., Carroll, J.J.: W3C recommendation homepage. https://www.w3.org/TR/2004/REC-rdf-concepts-20040210/#section-Concepts. Accessed 10 Sept 2017

  43. Antoniou, G., Van Harmelen, F.: A Semantic Web Primer, 2nd edn. MIT Press, Cambridge (2008)

    Google Scholar 

  44. Dolphin, J.: The application of building information modelling to the UK nuclear decommissioning industry. M.Sc. Dissertation, Glasgow Caledonian University, Glasgow (2016)

    Google Scholar 

  45. DuCharme, B.: Learning SPARQL: Querying and Updating with SPARQL 1.1. O’Reilly Media, Inc., Sebastopol (2013)

    Google Scholar 

  46. Cure, B., Blin, G.: RDF Database Systems: Triples Storage and SPARQL Query Processing. Morgan Kaufmann, Burlington (2014)

    Google Scholar 

Download references

Acknowledgement

Authors would like to express their gratitude to Dr. Vajira Premadasa of Historic Environment Scotland for providing assistance and support in the research presented in this paper.

Author information

Authors and Affiliations

  1. Construction and Surveying Department, Glasgow Caledonian University, Glasgow, G4 0BA, UK

    Farhad Sadeghineko & Bimal Kumar

  2. Computer, Communications and Interactive Systems, Glasgow Caledonian University, Glasgow, G4 0BA, UK

    Warren Chan

Authors
  1. Farhad Sadeghineko
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Bimal Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Warren Chan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Farhad Sadeghineko .

Editor information

Editors and Affiliations

  1. Applied Computing and Mechanics Laboratory (IMAC), School of Architecture, Civil and Environmental Engineering (ENAC), Swiss Federal Institute of Technology, Lausanne (EPFL), Lausanne, Switzerland

    Ian F. C. Smith

  2. Institute for Landscape, Architecture, Construction and Territory (inPact) Construction and Environment Department (CED), University of Applied Sciences, Geneva (HEPIA), Geneva, Switzerland

    Bernd Domer

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sadeghineko, F., Kumar, B., Chan, W. (2018). A Semantic Web-Based Approach for Generating Parametric Models Using RDF. In: Smith, I., Domer, B. (eds) Advanced Computing Strategies for Engineering. EG-ICE 2018. Lecture Notes in Computer Science(), vol 10864. Springer, Cham. https://doi.org/10.1007/978-3-319-91638-5_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-91638-5_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91637-8

  • Online ISBN: 978-3-319-91638-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation